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<table width="100%" summary="page for InstEval"><tr><td>InstEval</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>University Lecture/Instructor Evaluations by Students at ETH</h2>

<h3>Description</h3>

<p>University lecture evaluations by students at ETH Zurich,
anonymized for privacy protection.  This is an
interesting &ldquo;medium&rdquo; sized example of a
<em>partially</em> nested mixed effect model.
</p>


<h3>Format</h3>

<p>A data frame with 73421 observations on the following 7 variables.
</p>

<dl>
<dt><code>s</code></dt><dd><p>a factor with levels <code>1:2972</code> denoting
individual students.</p>
</dd>
<dt><code>d</code></dt><dd><p>a factor with 1128 levels from <code>1:2160</code>, denoting
individual professors or lecturers.</p>
</dd></dl>

<dl>
<dt><code>studage</code></dt><dd><p>an ordered factor with levels <code>2</code> &lt;
<code>4</code> &lt; <code>6</code> &lt; <code>8</code>, denoting student's &ldquo;age&rdquo;
measured in the <em>semester</em> number the student has been enrolled.</p>
</dd>
<dt><code>lectage</code></dt><dd><p>an ordered factor with 6 levels, <code>1</code> &lt;
<code>2</code> &lt; ... &lt; <code>6</code>, measuring how many semesters back the
lecture rated had taken place.</p>
</dd>
<dt><code>service</code></dt><dd><p>a binary factor with levels <code>0</code> and
<code>1</code>; a lecture is a &ldquo;service&rdquo;, if held for a
different department than the lecturer's main one.</p>
</dd>
<dt><code>dept</code></dt><dd><p>a factor with 14 levels from <code>1:15</code>, using a
random code for the department of the lecture.</p>
</dd>
<dt><code>y</code></dt><dd><p>a numeric vector of <em>ratings</em> of lectures by
the students, using the discrete scale <code>1:5</code>, with meanings
of &lsquo;poor&rsquo; to &lsquo;very good&rsquo;.</p>
</dd>
</dl>

<p>Each observation is one student's rating for a specific lecture
(of one lecturer, during one semester in the past).</p>


<h3>Details</h3>

<p>The main goal of the survey is to find &ldquo;the best
liked prof&rdquo;, according to the lectures given.
Statistical analysis of such data has been the basis for
a (student) jury selecting the final winners.
</p>
<p>The present data set has been anonymized and slightly
simplified on purpose.
</p>


<h3>Examples</h3>

<pre>
str(InstEval)

head(InstEval, 16)
xtabs(~ service + dept, InstEval)
</pre>


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